MEAN achieves 93.55% R@1 on University-1652 Drone-to-Satellite and up to 99.52% on SUES-200 with only 36.50M parameters and 26.18 GFLOPs.
Cross-view geo- localization via learning disentangled geometric layout correspondence,
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Multi-Level Embedding and Alignment Network with Consistency and Invariance Learning for Cross-View Geo-Localization
MEAN achieves 93.55% R@1 on University-1652 Drone-to-Satellite and up to 99.52% on SUES-200 with only 36.50M parameters and 26.18 GFLOPs.